CN116105223B - Intelligent heat supply control system and method based on prediction - Google Patents
Intelligent heat supply control system and method based on prediction Download PDFInfo
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- CN116105223B CN116105223B CN202310047468.5A CN202310047468A CN116105223B CN 116105223 B CN116105223 B CN 116105223B CN 202310047468 A CN202310047468 A CN 202310047468A CN 116105223 B CN116105223 B CN 116105223B
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- 238000000034 method Methods 0.000 title claims abstract description 19
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 263
- 238000010438 heat treatment Methods 0.000 claims abstract description 33
- 238000012937 correction Methods 0.000 claims description 12
- 230000003238 somatosensory effect Effects 0.000 claims description 12
- 238000005286 illumination Methods 0.000 claims description 6
- 238000005259 measurement Methods 0.000 claims description 6
- 238000002360 preparation method Methods 0.000 claims description 6
- 230000001276 controlling effect Effects 0.000 description 8
- 230000003139 buffering effect Effects 0.000 description 3
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- 238000010586 diagram Methods 0.000 description 2
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- 206010063385 Intellectualisation Diseases 0.000 description 1
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D19/00—Details
- F24D19/10—Arrangement or mounting of control or safety devices
- F24D19/1006—Arrangement or mounting of control or safety devices for water heating systems
- F24D19/1009—Arrangement or mounting of control or safety devices for water heating systems for central heating
- F24D19/1015—Arrangement or mounting of control or safety devices for water heating systems for central heating using a valve or valves
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Abstract
The application belongs to the technical field of heating, and discloses an intelligent heating control system and method based on prediction. Comprising the following steps: a weather information acquisition device; an indoor temperature acquisition device; the prediction module is used for generating a predicted heat supply model; the water supply circulation pipeline comprises two groups of parallel water supply pipelines; the control module is used for controlling the water temperature of the water supply circulation pipeline; and the execution module is used for controlling the opening degrees of the first electric control valve and the second electric control valve. The system and the method can carry out intelligent control according to the prediction.
Description
Technical Field
The application relates to the technical field of heating, in particular to an intelligent heating control system and method based on prediction.
Background
The description of the background art to which the present application pertains is merely for illustrating and facilitating understanding of the summary of the application, and should not be construed as an explicit recognition or presumption by the applicant that the applicant regards the prior art as the filing date of the first filed application.
The heat supply industry is used as a traditional industry and is driven by various technologies to gradually develop towards digitization and intellectualization. However, the basic purpose of heat supply is not changed, namely, a heat supply environment with certain temperature requirements is provided for heat supply users.
The temperature in the heating environment is affected by the complexity of the outdoor environment, maintenance structure, heating system, etc. If the outdoor environment includes outdoor temperature, humidity, wind speed, solar radiation, etc., the maintenance structure is related to the construction design of the building, and the heating system is also divided into various forms with different thermal, hydraulic distribution characteristics, etc. Numerous influencing factors and inherent hysteresis of the system lead to the fact that operation adjustment cannot be timely and accurately performed, heat supply deviation always exists, indoor temperature fluctuation reduces comfort level of heat users, and meanwhile energy consumption is increased. Scientific researches prove that the proportion of the over-temperature heat supply is more than 30 percent.
In order to solve the state, a climate compensation technology is generally adopted, the heating temperature is regulated in real time through the change of the outdoor temperature, but two unresolved problems exist, firstly, the system has certain hysteresis, the regulation of the heating source parameters and the change of the indoor temperature have certain time difference, the time difference is different according to the different sizes of the system, the heating deviation of a general area is about 1 hour, the larger project time difference is, the influence of the regulation always after the outdoor temperature is caused by the existence of the time difference, and the regulation effect is not ideal. Secondly, the feedback factors of indoor temperature are lacked, blind adjustment is carried out, whether the purpose of adjustment is achieved or not, and the purpose of adjustment is achieved, so that the over-supply and the under-supply are caused without self knowledge, and the meaning of adjustment is lost.
Disclosure of Invention
The embodiment of the application aims to provide an intelligent heat supply control method and system based on prediction.
An intelligent heat supply control system based on prediction, comprising:
the weather information acquisition device is used for acquiring outdoor weather information;
the indoor temperature acquisition device is used for acquiring indoor temperature information;
the prediction module is used for generating a predicted heat supply model according to the outdoor weather information and the indoor data information; the outdoor weather information comprises outdoor temperature, weather and illumination intensity; the indoor data information comprises a heat supply type and an indoor temperature; the predicted heat supply model is a change curve of predicted water supply temperature along with time;
the water supply circulation pipeline comprises a first water supply circulation pipeline and a second water supply circulation pipeline, the first water supply circulation pipeline and the second water supply circulation pipeline are arranged in parallel indoors, the water temperature value range of the first water supply circulation pipeline is continuous with the water temperature value range of the second water supply circulation pipeline, and the water temperature value range of the first water supply circulation pipeline and the water temperature value range of the second water supply circulation pipeline are integrated into a water supply temperature range; the first water supply circulating pipeline is provided with a first electric control valve; the second water supply circulating pipeline is provided with a second electric control valve;
the control module controls the water temperature of the water supply circulation pipeline according to the predicted water supply model, so that the average value of the water temperature of the first water supply circulation pipeline and the water temperature of the second water supply circulation pipeline is the predicted water supply temperature;
and the execution module is used for controlling the opening degrees of the first electric control valve and the second electric control valve through outdoor weather information.
Further, the method comprises the steps of: the real-time data module is used for generating a real-time heat supply model according to the predicted heat supply model, the buffer time and the correction data; the real-time heat supply model comprises execution data; the predicted heat supply model is a predicted water supply temperature change curve along with time, and the real-time heat supply model is a real-time water supply temperature change curve along with time; the water supply temperature at time t is calculated by the following formula:
（1）
（2）
the value is 16-20 ℃ (3)
（4）
Wherein T is Time of day The temperature of the water is supplied in real time, and the temperature is lower than the temperature;
T pre-preparation To predict water supply temperature, DEG C;
T somatosensory feel Is the somatosensory temperature, DEG C;
is the indoor temperature, DEG C;
is the outdoor temperature, DEG C;
to correct the data, C;
the water temperature, the temperature and the temperature of the radiator are taken as the basic water temperature, the temperature is higher than the temperature of the radiator when the radiator heats>When the temperature is 50 ℃, the floor is warm and heating>=70℃；
M= -1,0,1 and 2, wherein snow is 2, rain is 1, yin is 0, and sunny is-1; t is the measurement time, 0-24;
t 0 the time when the outdoor temperature is highest throughout the day.
An intelligent heat supply control method based on prediction comprises the following steps:
generating a predicted heat supply model according to the outdoor weather information and the indoor data information; the outdoor weather information comprises outdoor temperature, weather and illumination intensity; the indoor data information comprises a heat supply type and an indoor temperature;
generating a real-time heat supply model according to the predicted heat supply model, the buffer time and the correction data; the predicted heat supply model is a predicted water supply temperature change curve along with time, and the real-time heat supply model is a real-time water supply temperature change curve along with time; the water supply temperature at time t is calculated by the following formula:
（1）
（2）
the value is 16-20 ℃ (3)
（4）
Wherein T is Time of day The temperature of the water is supplied in real time, and the temperature is lower than the temperature;
T pre-preparation To predict water supply temperature, DEG C;
T somatosensory feel Is the somatosensory temperature, DEG C;
is the indoor temperature, DEG C;
is the outdoor temperature, DEG C;
to correct the data, C;
the water temperature, the temperature and the temperature of the radiator are taken as the basic water temperature, the temperature is higher than the temperature of the radiator when the radiator heats>When the temperature is 50 ℃, the floor is warm and heating>=70℃；
M= -1,0,1 and 2, wherein snow is 2, rain is 1, yin is 0, and sunny is-1; t is the measurement time, 0-24;
t 0 the time when the outdoor temperature is highest in the whole day;
the real-time heat supply model comprises execution data, and the opening flow speed of the electric control valve is controlled according to the execution data.
Further, the water supply circulation pipeline comprises a first water supply circulation pipeline and a second water supply circulation pipeline, the first water supply circulation pipeline and the second water supply circulation pipeline are in indoor parallel, the water temperature value range of the first water supply circulation pipeline is continuous with the water temperature value range of the second water supply circulation pipeline, and the water temperature value range of the first water supply circulation pipeline and the water temperature value range of the second water supply circulation pipeline are combined to form a water supply temperature range; the first water supply circulating pipeline is provided with a first electric control valve; the second water supply circulating pipeline is provided with a second electric control valve;
controlling the water temperature of the water supply circulation pipeline according to the predicted water supply model, so that the average value of the water temperature of the first water supply circulation pipeline and the water temperature of the second water supply circulation pipeline is the predicted water supply temperature;
controlling the opening of the first electric control valve and the second electric control valve through outdoor weather information;
if it isWhen the valve is in a closed state, the opening degree of the first electric control valve and the opening degree of the second electric control valve are adjusted; if the range of the first electric control valve and the second electric control valve is adjusted to be 40% -70%, the opening of the first electric control valve and the second electric control valve is adjusted, and if the opening of the first electric control valve and the second electric control valve is closed to be less than 40%, the water supply flow rate is reduced, and the opening of the first electric control valve and the second electric control valve is reduced until the opening of the first electric control valve and the second electric control valve is 30%; if the opening of the first electric control valve and the second electric control valve is increased to more than 70%, the water supply flow rate is increased and the opening of the valves is increased.
Further, the opening degree and the water supply speed of the first electric control valve and the second electric control valve are adjusted according to the temperature difference between the water supply temperature and the water return temperature:
if the temperature difference between the water supply temperature and the backwater temperature is larger than the upper limit of the preset value, opening of the first electric control valve and the second electric control valve is increased, and the water supply flow rate is increased; if the temperature difference between the water supply temperature and the backwater temperature is smaller than the lower limit of the preset value, reducing the opening of the valve and simultaneously reducing the water supply flow rate;
if the adjustment scheme for adjusting the opening of the first electric control valve and the second electric control valve and the water supply speed according to the temperature difference between the water supply temperature and the water return temperature conflicts with the adjustment scheme for controlling the opening of the first electric control valve and the second electric control valve and the water supply flow rate according to the execution data, the opening of the first electric control valve and the second electric control valve and the water supply speed are preferentially adjusted according to the temperature difference between the water supply temperature and the water return temperature.
Further, before the step of generating the real-time heat supply model according to the predicted heat supply model, the buffering time and the correction data, the predicted heat supply model is subjected to preliminary correction:
and acquiring outdoor weather information data about 15 days before and after the same date as the previous year of the predicted heat supply model, selecting a previous year heat supply model corresponding to the outdoor weather information data closest to the weather data of the current day of the predicted heat supply model, and taking the average value of the predicted heat supply model and the previous year heat supply model as a preliminary corrected predicted heat supply model.
Further, when the following formula is adopted to calculate the predicted water supply temperature, selecting a previous year heat supply model corresponding to outdoor weather information data closest to weather data of the predicted heat supply model on the same day, and selecting from previous year heat supply models higher than the predicted water supply temperature:
the value is 16-20deg.C (3).
Further, when the following formula is adopted to calculate the predicted water supply temperature, selecting the previous year heat supply model corresponding to the outdoor weather information data most similar to the weather data of the predicted heat supply model on the same day, and selecting the previous year heat supply model lower than the predicted water supply temperature:
（4）。
the embodiment of the application has the following beneficial effects:
according to the application, by adopting the adapting device and adopting a plurality of adapting choices, a heating user can adapt to the adapting settings such as comfort type, warm type, sleeping type and the like according to the selection needs; the individuation of heating is greatly improved, the heating effect is ensured, and the waste of heating is avoided.
The system is provided with two parallel water supply pipelines with different temperatures, and when the external temperature changes, the opening degree of the two valves can be adjusted according to the requirement, so that the instantaneous change of the water temperature in the water supply pipelines is realized.
Drawings
FIG. 1 is a system diagram of a predictive-based intelligent heating control method and system of the present application.
FIG. 2 is another system diagram of the predictive-based intelligent heating control method and system of the present application.
Detailed Description
The application is further described below with reference to examples.
In order to more clearly describe embodiments of the present application or technical solutions in the prior art, in the following description, different "an embodiment" or "an embodiment" does not necessarily refer to the same embodiment. Various embodiments may be substituted or combined, and other implementations may be obtained from these embodiments by those of ordinary skill in the art without undue burden.
Referring to fig. 1 and 2, a prediction-based intelligent heating control system, comprising:
the weather information acquisition device 3 is used for acquiring outdoor weather information;
the indoor temperature acquisition device 4 is used for acquiring indoor temperature information;
the prediction module 10 is used for generating a prediction heat supply model according to outdoor weather information and indoor data information; the outdoor weather information comprises outdoor temperature, weather and illumination intensity; the indoor data information comprises a heat supply type and an indoor temperature; the predicted heat supply model is a change curve of predicted water supply temperature along with time;
the water supply circulation pipeline comprises a first water supply circulation pipeline 6 and a second water supply circulation pipeline 7, the first water supply circulation pipeline and the second water supply circulation pipeline are arranged in parallel indoors, the water temperature value range of the first water supply circulation pipeline is continuous with the water temperature value range of the second water supply circulation pipeline, and the water temperature value range of the first water supply circulation pipeline and the water temperature value range of the second water supply circulation pipeline are integrated into a water supply temperature range; the first water supply circulating pipeline is provided with a first electric control valve 8; the second water supply circulating pipeline is provided with a second electric control valve 9;
a control module 2 (connected with the prediction module and the boiler controller) for controlling the water temperature of the water supply circulation pipeline according to the predicted water supply model, so that the average value of the water temperature of the first water supply circulation pipeline and the water temperature of the second water supply circulation pipeline is the predicted water supply temperature;
and the execution module 5 controls the opening 9 of the first electric control valve 8 and the second electric control valve through outdoor weather information. (in the figure, 1 is the user)
In some embodiments of the application, there is provided: a real-time data module 11 for generating a real-time heating model according to the predicted heating model, the buffering time and the correction data; the real-time heat supply model comprises execution data; the predicted heat supply model is a predicted water supply temperature change curve along with time, and the real-time heat supply model is a real-time water supply temperature change curve along with time; the water supply temperature at time t is calculated by the following formula:
（1）
（2）
the value is 16-20 ℃ (3)
（4）
Wherein T is Time of day The temperature of the water is supplied in real time, and the temperature is lower than the temperature;
T pre-preparation To predict water supply temperature, DEG C;
T somatosensory feel Is the somatosensory temperature, DEG C;
is the indoor temperature, DEG C;
is the outdoor temperature, DEG C;
to correct the data, C;
the water temperature, the temperature and the temperature of the radiator are taken as the basic water temperature, the temperature is higher than the temperature of the radiator when the radiator heats>When the temperature is 50 ℃, the floor is warm and heating>=70℃；
M= -1,0,1 and 2, wherein snow is 2, rain is 1, yin is 0, and sunny is-1; t is the measurement time, 0-24;
t 0 the time when the outdoor temperature is highest throughout the day.
An intelligent heat supply control method based on prediction comprises the following steps:
generating a predicted heat supply model according to the outdoor weather information and the indoor data information; the outdoor weather information comprises outdoor temperature, weather and illumination intensity; the indoor data information comprises a heat supply type and an indoor temperature;
generating a real-time heat supply model according to the predicted heat supply model, the buffer time and the correction data; the predicted heat supply model is a predicted water supply temperature change curve along with time, and the real-time heat supply model is a real-time water supply temperature change curve along with time; the water supply temperature at time t is calculated by the following formula:
（1）
（2）
the value is 16-20 ℃ (3)
（4）
Wherein T is Time of day The temperature of the water is supplied in real time, and the temperature is lower than the temperature;
T pre-preparation To predict water supply temperature, DEG C;
T somatosensory feel Is the somatosensory temperature, DEG C;
is the indoor temperature, DEG C;
is the outdoor temperature, DEG C;
to correct the data, C;
the water temperature, the temperature and the temperature of the radiator are taken as the basic water temperature, the temperature is higher than the temperature of the radiator when the radiator heats>When the temperature is 50 ℃, the floor is warm and heating>=70℃；
M= -1,0,1 and 2, wherein snow is 2, rain is 1, yin is 0, and sunny is-1; t is the measurement time, 0-24;
t 0 the time when the outdoor temperature is highest in the whole day;
the real-time heat supply model comprises execution data, and the opening flow speed of the electric control valve is controlled according to the execution data.
According to the application, by adopting the adapting device and adopting a plurality of adapting choices, a heating user can adapt to the adapting settings such as comfort type, warm type, sleeping type and the like according to the selection needs; the individuation of heating is greatly improved, the heating effect is ensured, and the waste of heating is avoided.
The system is provided with two parallel water supply pipelines with different temperatures, and when the external temperature changes, the opening degree of the two valves can be adjusted according to the requirement, so that the instantaneous change of the water temperature in the water supply pipelines is realized.
It should be noted that, the scheme of the application is generally suitable for outdoor temperature of-18-2 ℃, because in northeast of below 18 ℃, other temperature control methods will be adopted due to extremely low temperature, and not discussed herein, other northern areas except northeast and inner Mongolian areas of China generally cannot be lower than minus eighty degrees in winter, and the method and the system are applicable, and for the condition that the temperature is higher than 2 ℃ in general outdoors, although heating is also present, accurate regulation is not needed in the period generally, because the temperature is slightly higher but excessive heating is not needed, because the temperature is generally higher than 2 ℃ in winter, the whole sense is still colder, and the life in north can be realized, and the condition is not repeated.
Further, the water supply circulation pipeline comprises a first water supply circulation pipeline and a second water supply circulation pipeline, the first water supply circulation pipeline and the second water supply circulation pipeline are in indoor parallel, the water temperature value range of the first water supply circulation pipeline is continuous with the water temperature value range of the second water supply circulation pipeline, and the water temperature value range of the first water supply circulation pipeline and the water temperature value range of the second water supply circulation pipeline are combined to form a water supply temperature range; the first water supply circulating pipeline is provided with a first electric control valve; the second water supply circulating pipeline is provided with a second electric control valve;
controlling the water temperature of the water supply circulation pipeline according to the predicted water supply model, so that the average value of the water temperature of the first water supply circulation pipeline and the water temperature of the second water supply circulation pipeline is the predicted water supply temperature;
controlling the opening of the first electric control valve and the second electric control valve through outdoor weather information;
if it isWhen the valve is in a closed state, the opening degree of the first electric control valve and the opening degree of the second electric control valve are adjusted; if the range of the first electric control valve and the second electric control valve is adjusted to be 40% -70%, the opening of the first electric control valve and the second electric control valve is adjusted, and if the opening of the first electric control valve and the second electric control valve is closed to be less than 40%, the water supply flow rate is reduced, and the opening of the first electric control valve and the second electric control valve is reduced until the opening of the first electric control valve and the second electric control valve is 30%; if the opening of the first electric control valve and the second electric control valve is increased to more than 70%, the water supply flow rate is increased and the opening of the valves is increased.
Further, the opening degree and the water supply speed of the first electric control valve and the second electric control valve are adjusted according to the temperature difference between the water supply temperature and the water return temperature:
if the temperature difference between the water supply temperature and the backwater temperature is larger than the upper limit of the preset value, opening of the first electric control valve and the second electric control valve is increased, and the water supply flow rate is increased; if the temperature difference between the water supply temperature and the backwater temperature is smaller than the lower limit of the preset value, reducing the opening of the valve and simultaneously reducing the water supply flow rate;
if the adjustment scheme for adjusting the opening of the first electric control valve and the second electric control valve and the water supply speed according to the temperature difference between the water supply temperature and the water return temperature conflicts with the adjustment scheme for controlling the opening of the first electric control valve and the second electric control valve and the water supply flow rate according to the execution data, the opening of the first electric control valve and the second electric control valve and the water supply speed are preferentially adjusted according to the temperature difference between the water supply temperature and the water return temperature.
The two different water supply pipelines are different, and the instantaneous change of the indoor integral water supply temperature can be realized by adjusting the opening and the flow rate of the two water supply pipelines completely.
Further, before the step of generating the real-time heat supply model according to the predicted heat supply model, the buffering time and the correction data, the predicted heat supply model is subjected to preliminary correction:
and acquiring outdoor weather information data about 15 days before and after the same date as the previous year of the predicted heat supply model, selecting a previous year heat supply model corresponding to the outdoor weather information data closest to the weather data of the current day of the predicted heat supply model, and taking the average value of the predicted heat supply model and the previous year heat supply model as a preliminary corrected predicted heat supply model.
Further, when the following formula is adopted to calculate the predicted water supply temperature, selecting a previous year heat supply model corresponding to outdoor weather information data closest to weather data of the predicted heat supply model on the same day, and selecting from previous year heat supply models higher than the predicted water supply temperature:
the value is 16-20deg.C (3).
Further, when the following formula is adopted to calculate the predicted water supply temperature, selecting the previous year heat supply model corresponding to the outdoor weather information data most similar to the weather data of the predicted heat supply model on the same day, and selecting the previous year heat supply model lower than the predicted water supply temperature:
（4）。
it should be noted that the above embodiments can be freely combined as needed. The above description is only of the preferred embodiments of the present application and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (6)
1. An intelligent heating control system based on prediction, comprising:
the weather information acquisition device is used for acquiring outdoor weather information;
the indoor temperature acquisition device is used for acquiring indoor temperature information;
the prediction module is used for generating a predicted heat supply model according to the outdoor weather information and the indoor data information; the outdoor weather information comprises outdoor temperature, weather and illumination intensity; the indoor data information comprises a heat supply type and an indoor temperature; the predicted heat supply model is a change curve of predicted water supply temperature along with time;
the water supply circulation pipeline comprises a first water supply circulation pipeline and a second water supply circulation pipeline, the first water supply circulation pipeline and the second water supply circulation pipeline are arranged in parallel indoors, the water temperature value range of the first water supply circulation pipeline is continuous with the water temperature value range of the second water supply circulation pipeline, and the water temperature value range of the first water supply circulation pipeline and the water temperature value range of the second water supply circulation pipeline are integrated into a water supply temperature range; the first water supply circulating pipeline is provided with a first electric control valve; the second water supply circulating pipeline is provided with a second electric control valve;
the control module controls the water temperature of the water supply circulation pipeline according to the predicted water supply model, so that the average value of the water temperature of the first water supply circulation pipeline and the water temperature of the second water supply circulation pipeline is the predicted water supply temperature;
the execution module is used for controlling the opening degrees of the first electric control valve and the second electric control valve through outdoor weather information;
the real-time data module is used for generating a real-time heat supply model according to the predicted heat supply model, the buffer time and the correction data; the real-time heat supply model comprises execution data; the predicted heat supply model is a predicted water supply temperature change curve along with time, and the real-time heat supply model is a real-time water supply temperature change curve along with time; the water supply temperature at time t is calculated by the following formula:
（1）
（2）
the value is 16-20 ℃ (3)
（4）
Wherein T is Time of day The temperature of the water is supplied in real time, and the temperature is lower than the temperature;
T pre-preparation To predict water supply temperature, DEG C;
T somatosensory feel Is the somatosensory temperature, DEG C;
is the indoor temperature, DEG C;
is the outdoor temperature, DEG C;
to correct the data, C;
the water temperature, the temperature and the temperature of the radiator are taken as the basic water temperature, the temperature is higher than the temperature of the radiator when the radiator heats>When the temperature is 50 ℃, the floor is warm and heating>=70℃；
M= -1,0,1 and 2, wherein snow is 2, rain is 1, yin is 0, and sunny is-1; t is the measurement time, 0-24;
t 0 is all-day outdoorThe time at which the temperature is highest.
2. An intelligent heat supply control method based on prediction is characterized by comprising the following steps:
generating a predicted heat supply model according to the outdoor weather information and the indoor data information; the outdoor weather information comprises outdoor temperature, weather and illumination intensity; the indoor data information comprises a heat supply type and an indoor temperature;
generating a real-time heat supply model according to the predicted heat supply model, the buffer time and the correction data; the predicted heat supply model is a predicted water supply temperature change curve along with time, and the real-time heat supply model is a real-time water supply temperature change curve along with time; the water supply temperature at time t is calculated by the following formula:
（1）
（2）
the value is 16-20 ℃ (3)
（4）
Wherein T is Time of day The temperature of the water is supplied in real time, and the temperature is lower than the temperature;
T pre-preparation To predict water supply temperature, DEG C;
T somatosensory feel Is the somatosensory temperature, DEG C;
is the indoor temperature, DEG C;
is the outdoor temperature, DEG C;
to correct the data, C;
the water temperature, the temperature and the temperature of the radiator are taken as the basic water temperature, the temperature is higher than the temperature of the radiator when the radiator heats>When the temperature is 50 ℃, the floor is warm and heating>=70℃；
M= -1,0,1 and 2, wherein snow is 2, rain is 1, yin is 0, and sunny is-1; t is the measurement time, 0-24;
t 0 the time when the outdoor temperature is highest in the whole day;
the real-time heat supply model comprises execution data, and the opening flow speed of the electric control valve is controlled according to the execution data;
the method for controlling the opening of the electric control valve and the water supply flow rate according to the execution data specifically comprises the following steps:
the water supply circulation pipeline comprises a first water supply circulation pipeline and a second water supply circulation pipeline, the first water supply circulation pipeline and the second water supply circulation pipeline are in indoor parallel, the water temperature value range of the first water supply circulation pipeline is continuous with the water temperature value range of the second water supply circulation pipeline, and the water temperature value range of the first water supply circulation pipeline and the water temperature value range of the second water supply circulation pipeline are integrated into a water supply temperature range; the first water supply circulating pipeline is provided with a first electric control valve; the second water supply circulating pipeline is provided with a second electric control valve;
controlling the water temperature of the water supply circulation pipeline according to the predicted water supply model, so that the average value of the water temperature of the first water supply circulation pipeline and the water temperature of the second water supply circulation pipeline is the predicted water supply temperature;
controlling the opening of the first electric control valve and the second electric control valve through outdoor weather information;
if it isWhen the valve is in a closed state, the opening degree of the first electric control valve and the opening degree of the second electric control valve are adjusted; if the range of the first electric control valve and the second electric control valve is adjusted to be 40% -70%, the opening of the first electric control valve and the second electric control valve is adjusted, and if the opening of the first electric control valve and the second electric control valve is closed to be less than 40%, the water supply flow rate is reduced, and the opening of the first electric control valve and the second electric control valve is reduced until the opening of the first electric control valve and the second electric control valve is 30%; if the opening of the first electric control valve and the second electric control valve is increased to more than 70%, the water supply flow rate is increased and the opening of the valves is increased.
3. The prediction-based intelligent heating control method according to claim 2, wherein the opening degree and the water supply speed of the first electric control valve and the second electric control valve are adjusted according to the temperature difference between the water supply temperature and the water return temperature:
if the temperature difference between the water supply temperature and the backwater temperature is larger than the upper limit of the preset value, opening of the first electric control valve and the second electric control valve is increased, and the water supply flow rate is increased; if the temperature difference between the water supply temperature and the backwater temperature is smaller than the lower limit of the preset value, reducing the opening of the valve and simultaneously reducing the water supply flow rate;
if the adjustment scheme for adjusting the opening of the first electric control valve and the second electric control valve and the water supply speed according to the temperature difference between the water supply temperature and the water return temperature conflicts with the adjustment scheme for controlling the opening of the first electric control valve and the second electric control valve and the water supply flow rate according to the execution data, the opening of the first electric control valve and the second electric control valve and the water supply speed are preferentially adjusted according to the temperature difference between the water supply temperature and the water return temperature.
4. The intelligent heat supply control method based on prediction according to claim 2, wherein,
before the step of generating the real-time heat supply model according to the predicted heat supply model, the buffer time and the correction data, the predicted heat supply model is subjected to preliminary correction:
and acquiring outdoor weather information data about 15 days before and after the same date as the previous year of the predicted heat supply model, selecting a previous year heat supply model corresponding to the outdoor weather information data closest to the weather data of the current day of the predicted heat supply model, and taking the average value of the predicted heat supply model and the previous year heat supply model as a preliminary corrected predicted heat supply model.
5. The intelligent heat supply control method based on prediction according to claim 4, wherein,
when the following formula is adopted to calculate the predicted water supply temperature, selecting a previous year heat supply model corresponding to outdoor weather information data closest to weather data of the predicted heat supply model on the same day, and selecting from the previous year heat supply models higher than the predicted water supply temperature:
the value is 16-20deg.C (3).
6. The intelligent heat supply control method based on prediction according to claim 5, wherein,
when the following formula is adopted to calculate the predicted water supply temperature, selecting a previous year heat supply model corresponding to outdoor weather information data closest to weather data of the predicted heat supply model on the same day, and selecting from the previous year heat supply models lower than the predicted water supply temperature:
（4）。
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